The goal of this study was to analyze the impact of private autonomous vehicles (PAVs),
specifically their near-activity location travel patterns, on vehicle miles traveled (VMT). The …

This paper presents a first-order approach integrated with activity-based modeling and
dynamic traffic assignment framework to model the impact of autonomous vehicles on …

Difficulty in finding parking spaces and high parking fees discourage private car usage. Fully
autonomous vehicles (AVs) capable of self-parking away from destinations will likely remove …

The advent of autonomous vehicles (AVs) is likely to introduce new mobility experiences for
travelers. In particular, AVs would allow travelers to get off at the destinations and then drive …

Parking spots are a premium commodity, especially in dense downtown settings, so this
study examines the service impacts of shared autonomous vehicles (SAVs) parking in legal …

With 36 ventures testing autonomous vehicles (AVs) in the State of California, commercial
deployment of this disruptive technology is almost around the corner (California Department …

On-demand transport modes have developed over the last decades and are now often
integrated into Mobility as a Service (MaaS) systems. Their current scope stretches from …

Travelers' behavior is predicted based on their individual preferences. People search for
alternatives to maximize their benefit from doing activities, such as increasing the activity …

Autonomous vehicles are expected to significantly disrupt the mode choice behavior of
travelers. This study uses household travel data collected in the Greater Toronto and …

Interest in vehicle automation has been growing in recent years, especially with the very
visible Google car project. Although full automation is not yet a reality there has been …